{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 通过sin与con进行叠加变形生成无规律的模拟曲线，使用Seq2Seq模式对其进行学习，拟合特征，从而达到可以预测下一时刻数据的效果。\n",
    "\n",
    "### 定义两个曲线sin和con，通过随机值将其变形偏移，将两个曲线叠加。具体代码如下。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "import math\n",
    "        \n",
    "import tensorflow as tf \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training examples : \n",
      "(15, 3, 1)\n",
      "(seq_length, batch_size, output_dim)\n",
      "\n",
      "WARNING: The TensorFlow contrib module will not be included in TensorFlow 2.0.\n",
      "For more information, please see:\n",
      "  * https://github.com/tensorflow/community/blob/master/rfcs/20180907-contrib-sunset.md\n",
      "  * https://github.com/tensorflow/addons\n",
      "If you depend on functionality not listed there, please file an issue.\n",
      "\n",
      "WARNING:tensorflow:From <ipython-input-2-1c8332632ca7>:75: GRUCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This class is equivalent as tf.keras.layers.GRUCell, and will be replaced by that in Tensorflow 2.0.\n",
      "WARNING:tensorflow:From <ipython-input-2-1c8332632ca7>:76: MultiRNNCell.__init__ (from tensorflow.python.ops.rnn_cell_impl) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0.\n",
      "WARNING:tensorflow:From /usr/local/python3/lib/python3.6/site-packages/tensorflow/contrib/legacy_seq2seq/python/ops/seq2seq.py:186: static_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Please use `keras.layers.RNN(cell, unroll=True)`, which is equivalent to this API\n",
      "WARNING:tensorflow:From /usr/local/python3/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.\n",
      "Instructions for updating:\n",
      "Colocations handled automatically by placer.\n",
      "-----------------\n",
      "9.242047 110.40838\n",
      "Step 0/100, train loss: 8.092094421386719, \tTEST loss: 9.573272705078125\n",
      "-----------------\n",
      "3.06009 95.16659\n",
      "Step 50/100, train loss: 2.196453332901001, \tTEST loss: 3.3455898761749268\n",
      "-----------------\n",
      "0.37435877 89.21926\n",
      "Step 100/100, train loss: 0.6822235584259033, \tTEST loss: 0.6420165300369263\n",
      "Fin. train loss: 0.6822235584259033, \tTEST loss: 0.6420165300369263\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualize 5 predictions data:\n",
      "(30, 5, 1) (30, 5, 1)\n",
      "(15, 5, 1)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3iKgvEUUR0VAikpoNDpCTw3qH9jrLoaHAnDnAl18C69apa5vENp5aKlTSOJk3r36RgIoKruppL1FRwP79tYuUSCSeiNFowDPPADt3Aq+8Aixb1gbTpqUiOvoxKRsn0RSZId8I2L2bH+11lgG+eUZHcxTqzBl17JLYRq1SoZJLl8xMx7ZbIiqKFXPS0pSxSSJRiwMHJuDAgZvQtSvQpw8wcCCQkdEdv/3m5W7TJJcY0lluBFx7LctCOeIs+/pyZLmwEJgxg501ibZYigKWlvJ2icQZQkMd226JqCh+lHrLEk/GaKxCYWEC/vgjFCY5XlxxBXD11fHIzX0MMpNToiXSWW4E6PXsKPv7O3ZeZCQXKmnRQqYCuAMlooASSU0WLgS86gTVHC0SEBnJaxqaN1fWNolESUpK9sNoLMZ3343A2bO8zcsLGDNmPyIj30ZZmZwybay888476N27N2KsCDYXFBTggw8+0Ngq20hnuREwfz4ujKwdpU0bYM0adtBkKoC2KBEFlEhqEhPDihf+/s4XCfD3B9avB0aPVs9OicRVCgu3AQAyM4fX+q6atXF37jzsDrMuKRYvRj3Vkfh43u4KH3zwATZu3Ig4K46Is85ydXW1a4bZQDrLHs7Jk8DLL8Pplb8yFcB9LFzI6TA18fVVplSo5NKkqgro3Bl47jleoJee7nw1LVua7RKJuzl3bhvOnAnFyJEhtQpxjRjBznKHDtJZVpshQ4BJky46zPHxcLnU+IwZM5CWloYxY8agZcuWeP311y/si4yMRHp6OubMmYNjx45hwIABePrpp7FlyxaMr1FAYtasWfj8888BsAzdM888g4EDB2LNmjU4duwYbrzxRgwaNAhXXXUVjhw54ryxNfBWpBWJaiQm8qMj+co1kakA7iMmBlixAvjtN37t68vR/UGD3GuXpPHi7c3KAK6ybBnw0EMsIxcU5Hp7EonSZGRMwldfXVdPArVVqy7w8moGLy/pLCvByJH1t02aBMycyTninTpx2lbHjsCpU0Dv3jxDDfD14447ap+7ZYvt/pYuXYr169cjPj4e7733nsVjXnvtNSQnJyMpKcnUpu1G27Rpgz179gAArr32WixduhQ9e/bE33//jZkzZ2Lz5s22jbID6Sx7OImJnGs8YIBz54eGXvxi190uUZ+yMr7gJCQA2dn8OU6ezJXWHM1Bl0iUIjQUqK7mRX5XX+1uaySS+hgMd6CwsL4zJ4SAXt8HR47kwceH1+FI1KNVK3aUMzP5utGqlbstqs/kyZMBAMXFxdixYwcmTpx4YZ/BYFCkD+kseziJiUDfvvYXHKjLwoWco1wzFcPRBUES5/HyYmcZ4OnzL78Exo4FnngC+PBD99omaXzMmgWcPg18+61r7dRUxJDOssTTKC39B2PGVOP22yNgKv5bi/btt+OKK7yxeDHw9NNuMLAJYStoGxAAvPACR5rnz+d71gsvAKNG8f62bRuOJNvC29sbxhqC7+VWcsMaOi4wMBAAYDQaERQUdCEirSQyZ9nDOXHC+RQMgFMBli+/GElu0cLxBUES5/n9d+Ctty6+HjOGL+4GA0f2JBJH2LKFZytcpWNHvtFJ+TiJJ3LkyOvYs2coAMvycOHh3oiKAn78UVu7LjXMOcqrVwMLFvBjzRxmVwkPD7+QPrFnzx4cP34cANC8eXMUFRVdOC4sLAyHDh2CwWBAQUEBfv/9d4vttWjRAl27dsWaNWsAcLn0fQpd5KSz7OHs3w+4qqASE8OpGNdfDzzyiHSU3c1rrwGfflpfAkwisUVJCXD4sDI570JwdFk6yxJPJC1tGw4cuBJCWHZRSkoOYt68CTh1aj/y8jQ27hJi1y52kM2R5FGj+LVSpcZvv/12nDt3Dn379sV7772Hyy67DADnIA8fPhyRkZF4+umnERISgkmTJiEyMhKTJk1CdHS01Tbj4uLwySefICoqCn379sX333+viK3Ck4W9Bw8eTInmFW4SSSNj0SKW6Pr9d847r0ty8kXHua5qhkRSl4QE4MoruYT9zTe73t433wDnzgEPPuh6WxKJUpw+nYcjR9oiJWUhHnjgWYvHlJamYOfOXnj11S8wZco9mDpVYyMbMYcPH74gv3cpY+l9EELsJiKLc/kysuzBvP02cO+9svpeY2XbNi41bslRBoDUVNa7njNHW7skjRNz2fuBA5Vpb/Jk6ShLPI9Nm3YAAAYNGmH1GD+/bhDCB336HG7UsyM5OXFISAjHli06JCSEIydHFkDwVBRxloUQnwohzgghkq3sF0KId4QQqUKI/UIIhS73TZuff+ZpUgvrG5xi/36gVy9g61Zl2pPYZu9ewMZsEW65BXj4YeDNNxtf7l1cnKwKqTVdurCD26WLMu0RsU5zdrYy7UkkSpCevh1VVT4YMMC6mK9O5wN//x64557DqCHT26jIyYlDSkosDIYMAASDIQMpKbHSYfZQlIosfw7gRhv7xwDoafqLBSB1ABqAiJUwXFncV5fgYCAlhZ04ibrk5l6UirPFkiXsUE+bxos5GwNxcaywkpEhq0JqyS23AF9/rdzgubISuOwy4N13lWlPInGVkyeB119/CsnJG+DtbVtbMyCgNyoqGq/WclraPBiNtSuGGY2lSEuTFcM8EUWcZSL6A8A5G4fcDOBLYv4CECSE6KhE302V9HQgP195Z7l9e44wS9TFrFxjK7IMAHo9545WVHD+cmNAVoXUnqoq4Px5Zdv09eUCA415GlvStOjYEVi/vi0mThzZ4LEtWlwBX99OiIkxekQqW0MpFUSE0tJ/kJOzEsePPw+DwXJlMGvbJe5FK53lzgBqxs2yTNtOadR/o8PVyn3WkCvgtcHfHxg3zr5iMj17shRP//7q26UEsiqk9uzeDQwdCvz6K3CjrTk8B4mKAjZtUq49icQVSkqS0anTL2jf/j4AbWweGxo6G6Ghs1FUxDMur76q3KyLo3z8cRy6d4+FEBxFMBgycOhQLH78EbjllhbIzn4HRUWJqKoqAADodP7Q6zvDYMiq15ZeLyuGeSIet8BPCBErhEgUQiTm5ua62xy3MnAgEBmpbJv9+wMHD3KkSqIeI0YAP/0EtLF9vb/A4MEc6Tt37uJAyRMpKODojyVkVUj1MEmRok8fZduNiuIStpf4pVbiAaSlAZ988hPS0p4BkbHhE0xMmMCpYMkWV0xpQ/fu8y44ymaEKEX37vNQXV2Eyso8tGs3CZdd9hEGD07CiBHn0a3ba9Dpalcb0+kC0K2brBjmiWjlLGcDCKnxuotpWz2IaDkRDSaiwe3atdPEOE9k4kSOJiktKXbttcDddwPFxcq2K6lNSYlz502dyhHp06eVtUcJCguBG27ggip1K0rKqpDqsns3D7xCQho+1hHMMx9ytkniblatAkpLt8HHpxd8fRu+9xuNVUhMHIQrr1wCAPjhB7UttI4QlqfVhMhEcPDdGDx4DyIilqFTp/vRrFkUdDpvBAfHICJiOXx82gMAfHyCERGxHMHBTb8QgpeXFwYMGIDIyEhMnDgRpXXz+hxgy5YtGD9+vILWWUYrZ/kHAPeYVDGGAigkIpmCYQUi9eTixoxhXd+gIHXal3D+blAQq1w4ypIlnKvuaUoTRUX83dmzB/jsM64C2akT72vdWlaFVJvdu7kYidLTzIMHc868PelCEomafP21EQMGbEfbttYl42qi03mjsjIPQuzFkCHuVRSyljrRUEpFcHAMoqP/AAB07/66RzrKasjb+fv7IykpCcnJyfD19cXSpUtr7SeiWuWtPQGlpONWAUgAECGEyBJC3CeEmCGEmGE65BcAaQBSAXwEYKYS/TZVUlPZAfn5Z3XaJ1J+sZDkIvv3c5pL166On7t3LztEBoPnKE0UFwNjxwI7d7JjNWECO8ZZWTzw2r1bOspqUl7OU8xKVO6rS8uWXL62bVvl25ZI7CU5GSguPgR//wK0bGmfswwAgYG9UVp6GDNmAKNHu68mQbduC0FU250isi+lws+vKwYM2Io2bcapZZ7TaCFvd9VVVyE1NRXp6emIiIjAPffcg8jISJw4cQIbNmzAsGHDMHDgQEycOBHFpinx9evXo1evXhg4cCD+97//KWaLLRRZ4EdEdzWwnwA8pERflwKJiZwbqpSeal1GjODIp1rO+KWOvUoYlpg3j5UxamJWmnCXQ/rii8COHTxNetttF7cLwUVzJOpSXc0Fii6/XJ32Dx3iAd6dd6rTvkTSEKtWAWFhKQB8HHKWAwJ6oaBgK+6912i1NLYW/PRTDFatIjz11Fzo9dk4cyYUK1cuxGOPxSA42Pa5Op0vgoL+pY2hFti7d2S9be3bT0LnzjORljbXorzdP/88iuDgGFRUnMXBg3fU2h8dvcXuvquqqvDrr7/iRtOq5X/++QdffPEFhg4dirNnz+Lll1/Gpk2bEBgYiEWLFuGNN97A7NmzMX36dGzevBk9evTA5MmTHf6fncHjFvhJ2Fn281N+MY+Zbt1kjqKa7N0LtGrl3II3T1Sa+O9/gV9+4QhkXbKzga++kgtG1SQwEJg5U3llHDNffQXcc0/9QZpEohV+fkCnTrfjqqsK4efXze7zAgJ6w2gsQ3l5BgyGiwthtearr4D4+CkYNOgEevY04v7703H6dAx27rTv/HPnNiEn52t1jXQCS2odAFBVledSu2VlZRgwYAAGDx6M0NBQ3HfffQCAsLAwDB06FADw119/4dChQxg+fDgGDBiAL774AhkZGThy5Ai6du2Knj17QgiBKVOmuGSLvWglHSdxgMREziH08VGn/agoYMUKIC/PfrUGif0kJfHn50x+aWgop15Y2q4l5eXAggXA3LlA8+a8sM8S8fHsaEVHK6/cImESEzktq5v9PoRDREVxgZLDh/m5RKI18+ebn9kuRFKX5s2HoF27ySCqxuzZwMcf833Nz09xE61iNAIDB87FmDFAu3avAgBeeolzqB+ycz791KmPUVy8G8HB2k/v2IoE6/WhphSMutvDAAC+vm0diiSbMecs1yUwMPDCcyLC9ddfj1WrVtU6xtJ5WiAjyx5GdTWPjtWKIgEX9XwPHFCvj0uZ2FjgwQedO3fhwvpKE/7+2ipNVFQAd9zBuqW//277WHOqiawKqR4PPMB/amF2kN10D5Jc4mRlAeXl2dizZwQKC7c7dG7z5tHo2/drBAT0wNixnLK2ebNKhlphyxbC8OGfIyoq/cK2Rx5h/fJmzexrw88vHOXlGQ5J5mlBt24L3SZvN3ToUGzfvh2pqakAgJKSEhw9ehS9evVCeno6jh07BgD1nGm1kM6yh1FeDjz8MHDTTer1Yb45ylQMdbjvPpb+c4aYGFaWCAu7GJm++mrt8pUrK4HJkzmf/cMPucSyLSIiOIojnWV1MBh4UKvG4j4zPXvyZyivBxKtqa7mXPzXX9+G8+e3Q6dzLiRcXV2GkSPZOdVaQu7nn5PRps1p9O59/YVtOh1fv7OygM8/b7gNP79wEFWiosKzRMLM8nYcSRbQ68M0k7dr164dPv/8c9x1113o378/hg0bhiNHjsDPzw/Lly/HuHHjMHDgQLRv3151WwCZhuFxBAYCr7yibh/BwTzFPmyYuv1cimRkcGS2Rw/nZb5iYi46x7fdBiQkcE6wt8q/1qoq1uBetw54911gxoyGz/H25pkK6SyrQ3IyD2DUdJa9vTmFRjrLEq35808uijNw4DbodIEIDHQ8D+jAgQmorDyHgQO3Y/RoTn/48EPtqvlNn74Bp08DwcHX19v3+ut8Le3Xz/Zv2M8vHABQXp4Ovb6zSpY6R3BwjOLOcbGFQg/h4eFIrlNZ5pprrsGuXbvqHXvjjTfiyJEjitrUEDKy7GGkpztf0MIR5s9Xb3X9pcy777LzWF2tTHtTpnCBErWmFuPiams6b9oEvPEGMGuW/W1ER/MUvrtkm5oyu3fz48CB6vazahWgkQKTRHKBVas4QNS27Ta0aDEUOp3jEQFf304oLT0MIsJNNwEnT2q70M9g2ICAgN7w86tfMei//wXat+fAg617Qk1nWeKZSGfZw4iJ4eIPalNczHJgUsVAWfbu5SiCUlHgsWNZ5m/FCmXaq0lcHOdXZ2Swo5udzdP+js5qzZvH8mNaRXIuJXbv5ofWK60AACAASURBVM9frcV9Znr0YM1liUQrKiqAb78Fbr/9PEpL9zskGVeTgIDeqKrKR2VlLm6+mWfinJHtdIZnnwWys3tYjby2bMnFqRITOdptDX//HrjiijS0a2dBckjiEUhn2YOoqmJnS80pVzP/+x8wfDjwzz/q93WpQHRRCUMp/Pw4/3nTJuUHNvPm8YKYmpSV8XZHCAkBOnZUzi7JRZ5/Hvj+e/UHInl5PNuUmKhuPxKJmU2bgHPngIkTz6F16zFo1eoap9oJDOwNACgtPYygIGDoUJ4pU5vcXGDxYmDLlvcRFmb9ojl5MhdMefZZjnpbQqfzhr9/V+h0KklgSVxGOssexOHD7KyoqYRhxqyIsX+/+n1dKpw4wRd/paMaL7/MVR2VzllWUtP5jTeANWtcs0dSn86dgX9pUK/Ay4u/Zxs3qt+XRAIA114LrF0LjB4djv79f3K6MEdAADvLJSWHAQDHjrFkW3a2YqZa5JtvgMDAs5gyxXb+mRDABx8Ad91lW9IuJ2clsrLeVdhKy5DKOXOVlXkoLt6PoqJEFBfvR2Wla7rMSuPM/y+dZQ/CHNXRwlnu3ZudL7moRznMi9yUjCwDnBZRV05OCaxpNzuj6fzpp8AXX7hmj6Q2x48Db70FnDmjfl9BQazAIq8HEq3Q61ltR6erv9jLsXZCEBIyG82a8eJAg4Gd0x9/VMJK66xYAbz//vXQ6RqWPureHVi2jPXSrXH27A/Izn5HQQst4+fnh7y8PNUc5srKPJMMHlc5IqpAeXmGxzjMRIS8vDz4OSjGLdUwPIjERC4A0bOn+n3p9UCvXjKyrCTDh3N6ixqFHbZuZe3O334DOnRQps2FC7mgiLGGtGdAgHOaztHR2uubNnU2bwYefxwYN87xPHJniIqSzrJEPRYvBoYMAUaN4hmMHTuAIUMqodd3QPfucxAe/pxT7Qoh0L37oguve/dm5/THH+1T9HGGf/4Bjh7NQZcuSWje3P484337eAbnyy9ZP78mfn5hOHt2LYjULd3dpUsXZGVlITc3V5X2DYYsENVfzShEHvT6Lqr06Sh+fn7o0sUxW6Sz7EHExgIjR2qTbwXwzXHrVm36uhRo2xa49VZ12m7Xjgc233wDPPqoMm127syOcuvWQH4+R5QXLnRO0zk6miMtZ85o49hdCuzeDbRowTd+LRgwAPjpJ04Fq3sjlzQOcnLikJY2DwZDJvT6UHTrtlATTVx7GDIEmDQJWL2ao6ybNwMREXvx6qslCAiIcKnt6uoylJUdQ7NmkRACmDCBF9SVlLDahtLk5wOTJ28CALRuPdru886d40WNERHsNNeEtZYrUFFxGnp9JyXNrYWPjw+6du2qWvtbtvQFYClqLTBypGcVXXEERdwyIcSNQogUIUSqEGKOhf3ThBC5Qogk09/9SvTb1IiKcr6YhTM8+SRL90jJL2X4+GNWhVCDPn1YPkxJVYzQUC6Ak5XFTnN6uvPFT2QlP+XZvZs/cy0HzwEB/D2QND5ycuKQkhJrKk9MMBgykJISi5ycOHebBoAjyqtX8z1u3ToelL3yyjYAQMuWw11qOyvrTSQm9kNVVREALuplMKiXg3/55cAjj2yAt3cbNGtm/yKVUaN4Nm/xYl6jVJOmIh+n11vO47O2vbHg8mVYCOEF4H0AYwD0AXCXEKKPhUO/IaIBpr+PXe23qZGVBXz3HVBUpF2f0dHAiBFS8ksJ8vOB6dPVzZObOpVTdZTSYu/WDXjnHWWiiAMGAL6+vMhR4jqVlTxlq7a+ck1uugkoLORpbEnjIy1tHozG2vI2RmMp0tIclLdRkVGjeGFfdTVHmdu12wY/v24uR1LNi/xKS1MA8H0tIoKvy0pz+jSQn0/Iz9+AVq2uczhlYskSrjT44IO1A1XsLAuPq+LnCAUFf6Bjx1i3lchWEyViFpcDSCWiNOKM7q8B3KxAu5cU69cDd9wB5ORo16fRyFNCCQna9dlUSUriRzX1Pe+8k6OMcQoEij78ENi50/V2zLRqxQO9++WckSIcO6Z+5b66eHtrF8WWKI/BYFnGxtp2dxAfz6k+APDzz4Tc3G1O6yvX5KKzzOFaHx+O3N57r8tN1+Oll4CePY3o2vVDdOnyiMPnt2/PkeWtWznSbiYgIAL/+lcZ2rW7XUFrtSM3dy327RuNgoJNbiuRrSZK5Cx3BlAznpQF4AoLx90uhPgXgKMAHiciGYOqQWIiC5hrlZ8IcER55kzO75Klr11DLSWMmnTowBrIrlZezM7mvOfYWGWrOPr6KtfWpU6vXsD589o7r4sXs0zh8uXa9itxHb0+1JSCUX+7JxAfz9HkSZO4jPvixVVYvvxlxMb2dHk2w9+/O4TwvuAsA3x/I+J0DAeFD6xSUcHrRq6/3gsdO97idDv/+Q8/3lKjCSF0EELvooXu4eTJ5Th69EG0aHE5+vZdAx+fNo3eOa6LVpfiHwGEE1F/ABsBWBWZEkLECiEShRCJaq3W9EQSE1kyTsuUCCHkCnilSEoCOnVSf3HbggXA+PGutfHOOzwN+sQTythkZuNGnmbVMpWoKRMYqP1Cu4wMdgbkOobGR7duC6HT1f7CeNL0965dHEn97DN+PmqUD2JjY7Fr1yiX29bpfODv37OWs/zKK7yI+aWXLh4XH88DQmdZv54L+Pz73ytRXHzABXt5sd+OHeyAX7TvTcTFveC8gRpDREhPfwlHjz6A1q1vRFTUJvj4tHG3WaqghLOcDaBmUfQupm0XIKI8IjKYXn4MwOrkIhEtJ6LBRDS4Xbt2Cpjn+RgMrHSghb5yXfr3Bw4elGWvXWXfPu1KrGZlsYScM5w/Dyxdyik/SpdQrqgAtmyRgy8lePRR4KOPtO83Koq/I3KRX+MjODgGEREfwdeXy2nq9SEeNf09ezYPps0UFu7A0KHHMXu2Mu1367YYISFPXXg9bBhw9iywciW/Nke2hwxxvo8VK4BOncoREHAfTp36xCV7hwwBbr+dK6Bu28b2JSQkoFOnr11qV0uIqlFYuB3BwfcgMnIdvLxUkB7xEJRwlncB6CmE6CqE8AVwJ4Afah4ghKhZDPcmAHXWgV7aHDjA+YnucJajooDycln22lV27GA5JC2YM4fzlw2Gho+ty0cfsTP09NPK2yUVMZShqoo/J7WUVWxh1giXA57GRWVlPvbvH4+AgD648sqTGDmSMGxYpsc4ymYOHeIAzfbtwJEj/0Fq6mOKtd227fhaqhqjRvEaivR0ruhnlq0b5WQgu7jYrN28DUZjuUOScZYYNYqd77Nn+Xo+aRIwbFg4dLoMEHm2xJrRaEBlZR50Om9ERq5Dr16fNflS3S47y0RUBWAWgN/ATvBqIjoohFgghLjJdNgjQoiDQoh9AB4BMM3VfpsSgwZxnuBo1357TiHLXitDYCBP+WnBlClAQQHwyy+On+vlxVrQagzMOnbkNBTpLLvGkSMsq6Xl4j4zkZGcniWd5cZFdvb7OHfu5wvKDEVFSSgq2u1mq+qzfz8HhwIDc1FWluKyZFxNqqoKcfbsT6iouFjycu5cXkvxwQe82M9ZRxlgBYukJGDcuA0QwgdBQVe7bPPYscDQobyOJDYWuOyycBAZUFGh4Up/B6mqOo/9+8di//4xMBqr4OXlp2oRFU9Bkf+QiH4hosuIqDsRLTRte56IfjA9n0tEfYkoiohGEZFC4ldNAyF4YV+LFtr33bcvr7zXUt+5qbF+PUd7y8q06e+664DgYOc0lx97jKsMqoEQHF1uzM5yXBwQHs45heHhyiiPOMpuk4+jpWycmcBA4IYb1CnkIFGH6uoSZGW9hdatx10o+XzkyDQcPz7fzZbVJzmZB+zBwdsBQBElDDNlZalITp6AwsI/L2xLTeW8f52OFYDi413rIyICMBo3omXL4YqkHMTH8+ABYPuOHg0H4LlayxUVOUhKGonCwj/QufPD0Okunbp2TX840Ah44QXg55/d07ePD+euSsko5/nhB77Q6TVayOztDdx1F0sw2asjSgRs2lS7tLUaXHMNFztpjAvE4uI4upORwfZnZPBrrR3mPXvYWY1wraiZ0/z6K/DUUw0fJ/EMTp78CFVVeQgLe/bCtsDAvigpOehGqyyTnAz07AmUlGyDEHo0b67c9ElAQC8AQEkJZ3mac5TXruV+f/iBXzvjMJ84AUyeDBw6VIjS0iNo1cr1aWCzfW+8wa9nzQIef7wriDqguvq8y+0rRU5OHBISwrFliw47dnRBcXEyIiN/QIcOU91tmqZIF8nNcBUj92odb9jA1fwkzpGUxJJxWg44pkzh3Nbt2+07/rffgOuvB9asUdeu2bOB779vnIVu5s0DSmvXdEBpKW/XEp2Op4u9vLTtty6NccBzqWE0GnDixOto2fJqtGx55YXtgYF9YTBkoqrKc5wuAAgMjMOiReHIyvo/AEBu7reKte3lFQi9PvSCIoZZfWPUKC60M2oU8OqrzqlhrFzJben1LTF8eB46d57psr1m+6ZO5cHprbcCb77ZG7t2nULr1je43L4S1K0KCVRBCC9UVZ2zes7ixfUHJK6qkHgC0ll2M/v3s9PjjvxEM0lJPLo9Z/37L7FCdbW2ShhmBg4ETp60X0ZuyRKWtrvFeWlQh2iMjlamldoN1rarxZtvqlsJsiF27uT8+x073GeDxD6ICCEhT6Br1//W2h4Y2BcAUFLihlWiVjh9Og7TpsWiRQvWgiYyKF6OOyCg9wVnua76BsDrAdavB9591/42iYCvvgKuvJLTJb28AuDt3dJlW8326fV8fY6O5tdKqYMogaWqkETlNqtCDhlSO4KvhAqJJyCdZTeTmMiP7lDCMGNeAS8X+TlOaipHH9UsRmIJIThvGWjYMd2zB9i8meXItEgVufxy7quxEWqldoO17U2Vjh15ICYX+Xk+Xl5+CAl5ot5is8DASABAaannpGIcPz4PPj7qluMODOyD0tIjVtUkFi0Cbr6Zr09r19rX5r59LK86ZQph//7xOHNG+em50tKL999jx57B0aOzFO/DGZypCjlqFLBqFQdynn7adRUST0E6y24mMZEVBLp0cZ8NUhHDebKzgaAg7SPLAOsajx7NNwBbLFkCNG8OPPCANnbp9RcXqTUmFi4EAgJqb/P35+1asWoV/x5PntSuz7p06cLly6Wz7Nnk5a3H6dNfgKi63j4/v67o338j2ra91Q2WWUaLctydOz+MQYN2Wd3v5cUpFVdcAdx9t32zJytW8Nqem25KxrlzP6O6WvmqS//3fxxwKSkBysuPIz9/o+J9OIO16o+2qkKWlABvv80DgNdfBx58sPE7yoB0lmvhjpXweXk8PeHOHM8OHYB27eTN0RmuuYbTV8wDDi3x9WWN7C++sB5dLi/n3LjYWC6nrgXR0fxdqq5/D/doJk3iqFPnzvx7DAgAXn4ZiNFQqnbnTp6tULsSpC2E4Bu3vB54LkSEtLRnkJn5GoD6Nw8hdGjd+jr4+LTW3jgrlJY67ng5ir9/VwQG9rUpZRYQwGlOISHs1DVEp07A9OmsggEArVpdr5S5F4iM5Gv4oUOAn18Yyss9Q2u5W7eFEKK24oWtqpBnzvA98eefWWpv/nxOedm8WQtr1UU6yybctRL+hx94QZQ7MUt+FRS4147GihDuG+xMmcJ5eHv2WN7v58f7X9Cwgmp0NEcXUlO161MJ4uM5svvBB6waUlKifEnwhti9mx1VbzcrMkVFsaRVYxvwXCqcO/cLSkr2IzR0rlXHsKhoD7Ky7PAGNeL33xeioqL21I3S5biJjDh5chny87fYPK5tW/69f/VVw20+8QTw/vvAuXMbEBDQC35+IQ2f5CCRnDWD5GTAz89ztJaDg2MQENAHQvgAENDrw6xWhTx2jPO6k5J4JvOHH4B+/divuO0212X73I10lk1ovRK+ZhS7e3f36LnW5JdfgO++c68NjQ0iYORI4BPXqp66xMSJHGG2pLlcUsJV/ry9+eKlFY21kt+aNfw+1SwOlJJysVyu2hiN/J65c7GvmRtv5OpnWmmHS+yHiJCRsRB6fRjat7/L6nH5+RuRmvoYKis9IwqyZk0MduxYeuG1LcfLWYTQ4fjx53DmTMM31M6d+dqZm8spasXF9Y/Zt4+r61ZXl6OwcKsiknGW6NaNAxtmZxnwHK3lqqp8tGs3CSNHGjFsWLrVzysggFMSp08H1q3j1Itx44DWrXkwsMt6dkyjQDrLJrRcCe8peq41cbdMlScUg3CUU6eArVvrD7K0pFUrviCtWsWqKjV56y2ga1f7tZiVok8f4D//4WnOxkJVFS/4mTCBb1pmXnuNncYcDYI8R4/yDdsTnOUbbuAp6mbN3G2JpC6FhX/g/PkEhIbOtlliOCCAFTE8YZFfYSFrFbduzZV2evX6yqbj5QoBAb0vaC3bQ1IS8PHHrKNc8xpaUgKMGMGR5crKswgKuhZt2oxT3F6A7799+vBsjr9/DzRvPsRiLrrWVFWdh8Fw4oK6iiUSEvh969iRHeL33ruYoxwQAMyYwbnht9+ukdEqIZ1lE1quhPcUPdeanD4NjBnjnuIonjh4sAdz5FRrJYy6PPwwrzqurLy4rbycc8Wiotih1hJfX462D1eukq3qbN3K6wfuuKP29jlz+L18801t7IiJAYYN06avhqio4BxEiWdBZERQ0LXo0OFem8eZFTE8oTjJQZMJPXumAfBCs2bqLfIwy8eRnfqV11/PRaV++YUXo5lP++EHHrzefjvg59cF/fv/hNat1YksA6wB/cILQEBABAYN2omgIOWqGzoLkRHdur1mVfd52TIeUPwfy2ZbTEd86CGe3bQnP9yjISKP/Rs0aBBpxYoVRAEBRPxT4T9/f96uNELU7sf8J4TyfdlLeTmRtzfRs89q33dYmOX3IyxMe1sc4eWX2c7CQndbUp/ly9m23393T/9GI9GxY/zYGHjrLaKgIKLS0vr7Jk8mataMKC9Pe7vcSXQ00bhx7rZC4ixGYzVt3RpIR48+4m5TKCWFaPZsouxsoqqqMjIaq1TrKzPzTYqPBxkMOQ6d99xzfM2cNo1fjxlDFBJCtGkT0f/931kVLG28GI1E8+bx+zVuHFFxse3jp04lCg0lqqzUxj5nAZBIVvxRGVk2ERMDLF8OhIVdHB3FxKizEt4T9Vz1eqBXL/fIx3lKMQhH2buX881btHC3JRwBWbGCH41GHukPHOg+yZ6lS/m9yc52T/+O8uijbKu/f/19zz7L76sjhQyc4exZzyrm0qePVMTwNM6c+RZVVYV2HSuE7oLusLu57DKWuOzUibWhhVAv7y8wsDcAoKzsH4fOW7CA1yt8+SXPam7YwFHTBx7IQXR0O5w8uVwNcy9QUsIqHRkZwOHD/8ahQ3er2p89lJYehcFQW8eyogKYNo0lNc35yYGBtttZsoSVPty9cNkVFHGWhRA3CiFShBCpQog5FvbrhRDfmPb/LYQIV6JfpYmJAdLTeQV4ZGTtaW0lef75+tsCArTVc7VE//7uuTl64uDBHrp21a4iXkMkJXHZ1HXrWKYnJYVTM9yl0mEudNMYFvmZHdS6Gstm+vevn8+oNEYjL/J5+mn1+nCUqCggK0tW9vQUSkoO4dChicjKesvuc/r1+xH9+rkht64OKSnsDB48OAk5OatU7atly6sxfHg+WrZ0LA9MCOCnn3ih+4wZ7AesXw989NEmCEFo3lzdxQT5+cBNN3EqZHV1CYqL3X/x/Oefh3HgwIRa244eBb79lgcXy5bZ5wAHB7NDbTQ2XoUdl51lwUPE9wGMAdAHwF1CiD51DrsPQD4R9QDwJoAGyii4FyE4h/Hzz9Vpf/Jk/uvQgfsKC+OotpZ6rpbo358XYWi9IGzmzPrbPGHw0BBLlrDouidw5ZUshzR9OkdH2rdXb7BnD/3783e7MTjLjzzCiyRtRXVXrQJeekk9G1JTgaIioHdv9fpwFPOAR0aXPYPMzEXQ6QLQqdNDdp/j6xsMnc794bx//Qt46qlc5OauQUWFuhV3vLz84OMT5NS5Pj4cAHnsMX49axbQocMGeHu3QbNm6lae6tyZ1STMihjl5el2512rRU7OQRQV8eI+s1pIbi6/P/PnOxaMyczk2es1yhdA1AQlIsuXA0glojQiqgDwNYCb6xxzM4AvTM+/BXCtEO4sw9EwrU1a7mpIJwUGAl9/zWoKRiNHs93tKANcpvjqq7WPJKWn82pgcxVDnY4XXHjCe2KNqirPmjJftYr1LMvL2a4zZzg64q5Fks2a8dSrpzvL1dV88Q4IsH3hN+/74w911E/MOtmeoIRhRjrLnkNZWTpycuLQqdMD8PVta/GYxYvra9nGx5/AN9/MQnGx+z7EM2f4b+BAzvELDIxSvc+TJ5chPf1lp86Nj+c0svnzgQ8/JJw+vRGtWl1ns9CJEgjBM9pmZ9loLEdlpftW2FZWFsDXNxtxcX3x2WdA377Ak09y8abrrnO8PfP9/Y03POveaS9KfPqdAZyo8TrLtM3iMURUBaAQQBsF+laVb77h6K+SpWc3b2bdVk+cihg1CtiyhXNNtaKggHPEpk7lqPb33/MAQktdYGd4/32O3npKIZd58+qnCbhbYWXAAM93lrdvZ1m4uioYlti7lweTauhq797NKiJ96s7JuZHgYFYBueYabfprjPKRWnHixBIIoUNIyJNWjxkyhB0Zs8McH8/qDsHB76Ow0I66ziphVsLo1o0ddjWVMMwUFPyJU6cczzGOj+f3cPVqTjNYvfoghDiFM2fUU8GoSWQky8d5gtZyaekhAMAdd/TFffexWtCnn/J748xaGJ0OePxxlpezp8y4p+FxC/yEELFCiEQhRGJubq5bbRk0iKdGlyuY1z9vHo9YPRktR31nzvD7/PDD/HrsWB6BLlumnQ3OkJTE0fAg52b7FMcTF0nOnMkLDT05irBmDesqj7NDPjU6mqeTFy/mYi9Ksns3p674+irbrqs89pg2pdwbq3ykFhARDIYsdOgwDXp93TjURUaNYkdm0iT+7U2aBHz4YRd4ebVwq3xccjI/tmq1H76+HeDrq34t98DA3jAYTqCqykKlERvs2lXbGRwxoiOIliMpaYwKVtYnMpIDMEVFvdC27W0QQq9Jv5Ywf2f8/fuCiHPOH37YtUXj99zDUqZvvKGQkVpiTSbD3j8AwwD8VuP1XABz6xzzG4BhpufeAM4CEA21raV0nDXGjiXq0IHIYHC9re3bWWrl3Xddb0stpk8nGj7cvTb8979EXbs2LEfjTqKiiG64wd1WXKSxyu+5k+pqoo4diW691f5zfvuN39fly5W15X//I1qzRtk2lWDZMqL27VnWMixMHSlNIvn9tYfq6gqb+/PyWJqrb19+7557jrfv3j2U9u4dqYGFlomNJWrdmiglZSYdPHi3Jn2eOfMdxceDCgt3adKfUpw5Q3T4MFGVesp6dlNWlkmnT6+gGTOqCSB64gmitm2JNm92rd25c/l6cuyYMnYqCWxIxynhLHsDSAPQFYAvgH0A+tY55iEAS03P7wSw2p62PcFZ/uUXfpdWrnS9rVtvJWrVyrOdwMcfZ31pLX6sR44QnTpVf3tpqWdcLKxhMBD5+BDNmeNuSy5iSSc8IEA958YejEaiP/8k2rPHfTbYoryc6M03iTZutP8co5FoyBAezHm6ZqirrFhB5OurzXfKE7XnPYHKygIqK8ts8Lj8fB7AX389a4IDfK/ZvJno8OH7aNu2thpYa5ldu4hWr9a2z+LiQxQfDzp16kun26iqKqPs7I8c1mtWEjX1qO1h82YivZ4HzObXrjrM2dn8ffDE66ctZ9nlNAziHORZpujxYZMjfFAIsUAIcZPpsE8AtBFCpAJ4AkA9eTlP5YYbgB49uISjK6SmsqzXzJkNaxK6k/79eVFjaqr6fT36KFcrMxprb/f35xQHg8G9ig7WOHiQ7YpWd3G0Q9TVCfcEhRUhgLvu8hzFkLro9Zxm4MhiFSGA557j9KyUFGXsSE3l6V9PW8cwbx5rqtZErTz4xiofqRY5OXFISAjHtm1B+OuvUGRlWb8BlZRwGlFyMrBzJ/DRR7z9zjs5FePUqUjodP6oqjqvkfW1GTwYmDhR2z79/XvA27u13ZrUligs3IajR6ejqGiXgpY1zIoVwFdfAfv2ja4n26YlOTkrsX9/KtatA7Zt423mVJ9dLrwlnTrx96HRaS5b86I94c8TIstERPHxPDXiCtu3c0UsS5FUT2LPHo5KfPONuv0cOcL9LFhgef/RozyC/fprde1whtRUoiefJEpPd7clns+ECUS9e7vbivpUV/NsUX6+4+cajUQlJcrZMns2z1QokeqlJFpGez/9tH4/AQFEr7xC9NFHjacSpBKcPr2Ctm4NoPh4XPjbujWATp+uH9IvL+dosk5HNGXKxYhfr15EN97Irxctct+bd+4c0bp1RMeOfU1//92byspOaNa30cUvTWrqbNqyxYcqK4sUssg+rr+eaPBgogMHbqe//+6lad9mKirOUXw8KCNjsSrtV1fzvf+jj1Rp3mkgK/i5xsiRrA/oCldeyfJQHTooYpJq9O7NUV215aLef58XM8XGWt7fvTvLjy1dqq4dztC9O0dLw8LcbYnnEx3NEVg15NZc4a+/gLvv5iIEjiIES81VV7OCi6vs3g306+d5i/u0jPZOm8Y61p061Z4ZOXGCtcNvuYUXA18KpKXNg9FY+wdjNJYiLa1+SH/6dGDjRuDjjzkaaV58NXo01woYNgyYPdt9Kq1//cWfXWbmbpSVHYOvb7BmfbuqTpufvwEtWw6Ht3czhSyyj8hInr10p9ayeXFfdnZfzJ7N2spKotOxMtiCBeoWe1IS6SzbyeHDPK119qzj5+7cydO2jQE/P5Z3GThQvT6Kirjgy6RJLE9lCZ0OeOABlrI74v5qrbU4coT1jCUNEx3NaTbuKKNui2+/Zed0gguznDffzOe7ci8jDrfLvAAAIABJREFU4kG0J+krm1m4sH5VQ7WKBZnTW7Kza2vPv/cer5z/7TceUPz4o/J9exoGg2UJG0vbZ87kwMO999bf/vvvXGQDAA4fnob09AVKm9ogZtm4Zs32IzCwD3Q6H836zs39Dnv2XAmjsaLhg2vAKTAhKC5OQlFREnJytJVkiYzkVMjiYvdpLZeW8ge3bVtfLFmizkD+8cd5MPzdd8q3rQbSWbYTo5F1lx3VWC0v5xvqf/6jjl1qsGQJcPvt6rW/detFGRpb3HsvX+yVlO5zFaOR9UyftC53KqmBOa/bk/SWidhZHj0aaNnS+XYmTuQZmJ+drCYcF8cyifn5fMPwNJm0unnwoaHq5MEfOgTcdx+X1q6LWZs1MRHo2JHLAa9bp2z/noZebzl0b95OdDGHdOhQyxVQIyI4quzlxa/LylKRn79JDXNtkpzMn1tFxT5NipHUpLq6DOfPJ6Cs7Jjd5+TkxCElJRYGQ5apjQKkpMRq6jBHRvJjVlY4APdoLZeUHISXVzNs3x6KiAjXrpPWGD+e14M1liIl0lm2k759eYrrgw8cW4izYgVPHz74oHq2KQ0RVxdUWkvWzPjxrKN6+eW2jwsOBm67jaPQalRSdIa0NC776UmL+zyZ0FAu/HHPPe625CI7d3JEw9VFR3ffzcUzXn7Z8Yu9WVfYXPDo3DnP1BWOieEor9HIv9m771a+D3MKgd6GpGxkJPD331wkZexY3uZpqT1K0a3bQuh0tUP6Ol0AunXjkP6CBcBVV3H6hS3++gt47TV+HhjYFyUlyZpP6ScnA5dffgYVFac1KUZSk8BArh1vLq5hD2lpz9qdAqMWffvy4DQjIxKdOz8Kb+9WmvVtpqTkIAIC+mDXLoHBg9XpQ6fjBdY7dwIJCer0oSTSWXaAWbO4yIO9eY5GI4+aoqNdE/LWmo0bOXfwr7+Ub9ucn2QufdkQ8+ZxJMnPT3lbnMEcIZXOsn0Iwfn6nqQAs3Urz1jcdFPDx9rCxweYM4eduM2bHTt33rz6zp67Ky42xMsvK1/Nz2DgCp633AK0a2f7WLN6ia8vR+P79AFuvZUj302p6l9wcAwiIpZDrw8DIKDXhyEiYjmCg2Pw1lvAiy9yjve119puJz4emDuXK1QGBkaiqiofFRWnNfgPGKORZw369DEgOPjfaNlyhGZ9A0BAAC80Kik53OCxFRVnkZm52KEUGLUIDATOnwceeigcPXu+hYCAyzTr20yfPl+jTZsvcfIkz6SqxbRpwOTJnnV/sIZ0lh3gppuAkBDg3XftO/7XXznX+ckn2WloLJingdTIM73tNp5ytZd+/bhqmqe8f+bKfX37utuSxsO+fZyP6ikygLNnA8ePK1N9cdo0Hlh+9VXDx5aXcx7p3LkcpbWEOysuNkRQEK8hSExUrs3vv+cyuvff79h5Xl48a7FuHb9n1MSq/lVXlyAs7FmMHGnEsGHpCA6OwWefcUrKbbexPJyugbv3DTfw48aNHFkGoGklPyE4uBAbG4LevT9HixYNTCUqjJdXIPT6UJSWWneWz59PxOHD9yAhoQvS0p6xWjHPWmqMWjQzrSk0Gg2oqHBioZSL+Pq2w6lTEWjTRl1nOTAQ+PprIErbDB2nkM6yA3h7843uyivrawNb4vffOYI6aZL6tilJx45A27bKK2IcO8ZReXujymZycji/+cABZe1xhr17OaLlKZHuxkByMi8K86SFmp2tVw12CL2eI9XXXsuRzZoRzprXiBdf5DKv113HSirWUg48WVd46lRe4Pfhh8q1+dFHHBl2ROsaAFq0sDyw8PTovL1kZb2Ns2fXXnh97BgrX1x/PbBypX0atQMG8HV8wwaOLLdoMVRFi+sjBOdOd+6c7xZFBwDw8+uOvLyfsGWLDgkJ4cjJiUN1dSmIOJfy7Nl1OHt2HTp2vB+DBx9Ar16f2EyB0YpNm3hQtHv3lThyRNsctpKSQ0hPfwmDBuUgN5fz4tUmLQ1Yu7bh49yJdJYd5MEHOWesoVE9wCkYe/deXJHcWBCCi5MoHVl+/32OCD3wgGPn+fjwTdUTZOSeew5YtMjdVjQuPGmR30svsdOn5L3777+BGTM4smmOcP773+zQmXOS+/Tha8fPP3MKwSefaKc0oRQtWwJTpgCrVvH/4CpGI89iPfaYfdfTuliLwntydN4e3ngjD6Wlh9Cy5VUXtmVmcv742rW2c7trotOxc71hA+Dj0x4DByagdWsHRyUusH49D6ySkkbh4EGNq5KAF+sVFf2N6urzAAgGQwaOHJmGbdvaIi/vFwBASMhTGDYsG5dd9h6aNYu0mQKjJbm5/FlXVoZrvsCvoGAr0tOfh9FYASGc+206yvz5fM087566OXYhnWUnqK4GfvgBKLRRHMgsFde2rTY2KU1UFEcElaoqVlwMfPopcMcdPG3tCK1bc3T+q6+4HXcQF8cRwxEj2OlpClO9WhERwVUZ3e0sE/Fi0dxcZdN6LOUfm3835kWykybx4HnsWJ5i9cSKi/bw4IO82PaLL1xvS6fjBXuPPebc+U216l90NEtdpKX9Czt2AG+9xd+fadMcz+0cPZoHJWalES0jvF98AbzxRgVKSw8hIKCnZv2asaRXTVQFIQT8/PhL4uMTBG/v5rWOCQ6OwbBh6bVSYLTGnAp57lyY5lrLrITRAtdc0wWffaZNn48/zj6To2pjWiKdZSdISmKN1S+/tLw/M5OLj3zzjbZ2KclddwHLlinnLK9YwYOLhuTirDFjBv+Yvv5aGXscwaxcUDNy2FRyI7XAy4tnKtztLCcl8XTfHXco2661SGZpKdC1q/XzaipNmHWFPZ0BA4DFi4Ebb3Stnaoq4I8/XIvwa6kDrSUhIX+CSI/Jk4fgmmuAp57i654zi8RjYoDTp3mtTWbmIiQkhGjmeCUnAyNGHAFRJQIDtVXCAKwvyjMay9CsmWcnyUZEcKpNVlY4jMYyVFYqXBXEBqWlB+Hl1QcJCUKzdSaDB7PCy9tve26REuksO8GgQcAVV7BgvqXc5bff5ojSsGHa26YUQ4bwdLVSYuS33cZpFM6+J8OG8WjbHakYjVG5wNOIjmaH0J16mt9+y477Lbco225TjXBa4+mnXa9oun49cPXVwC+/ON9G3eh8UBBfexvDoMMWVVXn0KrVlQgM1MNgAB56qGHlC2v4+FycRvfyao6KimwYDNnKGWuFykqu3Bkdzbl87nBOG9Kr9mR8fdlhTkkJB6Ct1nJJyUEUFPCCUDUX99Wla1cORNXUUY+P58G5JyCdZSd5+GHg6FFOxK9JYSHn106e3Phvlnv3cnUxJWjfnnOVnZ3+FoKnawcO1L56XlPNjdSS119nBQp3qZoQAWvWcHRO6dSophrhtIU5PcBZPv6YddRHj3bNDnN0ftMmoKDAekXQxkSvXp/i1183Ij2dFS1WrmSnwVm+/Rbo3Rvw8mIHyFydTU3++Ycd5q5d90EIPfz9tZc/a0iv2tMZNgwoKBiI7t1fh6+vg7mLTlJZWYDq6iIcP94Xfn4X00G0YOpUDmZs2MCv4+M5/UhLh90mROT0H4DWADYC+Mf02MrKcdUAkkx/P9jb/qBBg8hTKS8nat+eaMKE2tuXLCECiHbvdo9dStK3L9H48a6389xzRN9/73o77iIsjD/Tun9hYe62TGIv5eVEzzxDtHq1Ou2vWMHfByH4ccUKdfrxFJ56isjbmyg72/FzT54k8vLiz0MpysqI/PyIHntMuTbdxYYN/P506UJUUUG0eTNR27b86Azr1/P16tdfcyk+HpSZ+bqyBltg3Truc9eueDpx4m3V+7PG6dMraMeOMIqPF7RjRxidPt3Ef5gKYDRW0ahRZTR0qPZ9b9zI3/X58137zjsLgESy5u9a22HPH4DFAOaYns8BsMjKccXOtO/JzjIRf6DduxOVlPDr6mq+UY4a5VazFGPYML5ou+IAHD9OpNMRzZ2rjE1GI9FffxEVFCjTnj2sWEGk19d2lAMCmr5DpCRGI1FsLNEHH7jbEokS/PMP/w7++1/Hz331VT736FFlbbr2WqJ+/ZRtU2syMl6jtWuvpVmzquiXXy5u37yZaNEi59osKeHr1+OPE23b1p4OH75XGWMb4Px5ospKTbpq0pSVpVNJSYqmfT74INFrr2na5QXmz+frw/z52vetprOcAqCj6XlHAClWjmuSznJJCVFVVe1tx44R7d/vHnuUZMUKIh8f1x3Ep59mhzszUxm79u9nW957T5n27GXyZO73UokcqkG/fkRjxmjfr9FIFB/PUTqJcoweTdS5s+MO0ZVXEo0cqbw9r7zCv9GcHOXb1oq9e0fRrl3Rird73XU8U5iW9gJlZ3+kePuWqKw8TwUFCVRVVapJf02N3FyiwYOJfvstmvbtG6tJn5mZb1Jq6tOa9GUJ8yyKJ0aWXc1ZDiaiU6bnpwFYyxjzE0IkCiH+EkIovLzGfQQEcI5NeflFiahu3bjqXGNn3rz6FdccXdRWWsq5ibfcwquxlaBfP15guXSptovFVq7kBSuNSbnA04iOdo8ixsGDnKv86afa992UmTkTyM4GfvzRsfPi4+2reOgo113HCgJKF1PSCqOxEnl5f+HkyasaPthBbriBfwc+Pi+iUycHyyU6wYwZwPffJ2Dv3mE4f/4v1ftrirRuzZ/Z2bPaaS2fPbsO+fnbNb23mjHnKK9ezbUs/r+9e4+LsswbP/65BgQ5GKggqSSomSmklpiaWeKhzGrb2s0Odvq15Vbus7Wn6hdPW7nZwdqnnqft2bZfbbWvaDdta22rVbPGNDFPlcZh8QgiKuIBRZDjXL8/riFQGIGZ+54Zhu/79eIFczNz3RdwM/Od+/5e3++iRea2L/n6Vmo3WFZKrVBK5bbxcU3L+7mjck+/4hStdQZwM/CiUmroafY31x1Ybywv91+5FG+VlEBiojmwlTLd6UKhpJgVi9reecc0L/C2XJwn99xjyhKtXWvtuKfjcMA5/l+jElLOP9+Usdq/37/7XbzY/G9aXQWju7vySvPGtTONBLQ2K/0728WzIy64wDzfzJhh/dj+sHXr14SFnWDTJuuD5Vmz4M47oa4O6uuP0Nho3yrpEydMlZKKiqZKGP4vGxcKHA5IS4OSklS/1FrWWlNVlcvmzWmcfbb/Kxdt2GAC5KYSiZmZ5vaGDf6dhyftBsta6+la6/Q2PpYAZUqp/gDuzwc8jFHq/rwTWAmcf5r9vaq1ztBaZyQmJnrxI/nXqlVQVdVcWqy0NDRq8Hqq5BEWZkq5HGjzL32y+Hj40Y/gkkusnduNN0KvXv4rI7dunWk129SNTXgnUJ383nvPHIOhUCkhmISHmxey22/v2P0PHzYl5/71L3vmExZmGr50VR98sBqAO++0PlgeOdI0fOjb9yvWrOlDRcXnlu+jSUGBCbQGDtxMRMRAevToa9u+Ql16OhQUpOJyVVNff9DWfdXXH6Ch4RC5uWnfl2P0pwcfbF1LPDPTbA8GvqZhfAg0PVXeDiw59Q5Kqd5KqUj31wnAJCDfx/0Gjays1u/AQqEGb1vlsCIjYehQeOghc2bo+uvh0089vwP98Y9NoGL1P11srCkzs2KFOVNit48/NpfwO9s9S5xszBhTO7QpZckf8vPNh9WNSIShlGlc9O9/t3/ft9825TY728GzM9avN80Ndu60bx92WLsWli1LYd++O0hJseddndZQXDwcMLV07ZKbaz7Hxm4O+uYfwS49HbZtSwXsr7XcdEysXTsyeMq1BRFfg+VngBlKqW3AdPdtlFIZSqnX3PcZAWxUSm0GnMAzWuuQCZZDtQZvW+14X3/dvCjm55vUCqcTfv7z5sdUVze3hXY4zNlpu86wP/EE7NhhXdOU01m50lzijYuzf1+h7KOPTH7/ddeZY8Tuqy/Z2TBpkvn6mWe6/tWeYPUf/wEXXWQuv3uitak/P24cjLYxfurVC778Ej77zL59WE1r+NWvoLDweq6+2r7+wosWwejRvVFqAFVVubbtJzcXoqPraGwskBQMH02YAEOGjCcx8V2ioobYuq/GxiqUSmX79jQJltviaeVfMHwEezUMrbt3Dd6aGq0L3RVtqqq0jokxlS/8VWLt7be1HjTI3goVVVWmKshvArdAOCS8/bY5Fvx5bPhzf92Z02l+v2+84fk+69aZ+/zpT/bOxeXSun9/U72mq3C5tF6y5Kh+/31762Hu32/+Bh98MENv2GDfa+uvfqX1pZfW6yNHvvB7yTPhm5dfNsdIUVGgZxIY2FgNo9vrjt27mkRGNi96q601OYONjSffx66UlOxsuOsucwbfXF60J1c8J8dUBTk1l0p0jr9bhkuLcv+59FLTIe6Pf/R8n9deM8+LN95o71yUMq2hP//cVK7pCpSCsWOz6d27DzU1JbbtJynJpEIVFKRRXZ2P1vb8gp5/HlauDCc+/hKio2VVtBUOHlzLsWPrbN/PuHHw6KNdv/uwHSRY9lFb6Qqvvtr9Sov17g2VlW1/z46UlKys1m2v7QiGjh2Ds8+Giy+2dtzuxt/pSqGaHhWMlIJ77zX5wps2tX2f6683C4PPOMP++UydCuXlzbmzweyll+Cxx6CiYjUREUlERtpQJqSFyy+Hv/1tNsnJL6J1g237OXx4OQcPfmTb+N3JddfB8uX3UVQ037Z9aK3ZuHEsAwa8zPz5/l/c1xVIsGyBOXNM7d3uXoPX07tRO96l+isYuu462LbN5EIK7/nz2AjE/rq7224zZ47feaft78+YAfPm+Wcu06aZoNAfi399UV4O//mfsGmT5tix1cTFTUbZHKVcdhls2TKR/Py5OBzWL/jYsAEyMiA//zmKi5+wfPzuqH9/2L07lZqaYtv2UVdXxvHjX7Nrl6vVSShhSLAsLOPPlBR/BEONjf6vNRmq/J2u9Nhjrbd1l/SoQIiLMxUdFi5s/b0//MG/1SkGDYKlS03QFsyeeMKUHX3mmWJqa/cQF2d9ybhTTZoEH3wAF16YS1VVgeXjb95sgn+XazMxMbK4zwrp6abW8okT9tVarq42lTDuv39kl1oc608SLAvL+DMlxR/B16efmnf1331n3ZjdVctjo8nTT9t3FaapPFm/ft07PcqfRo0y6xZays011TKWtCoqar9Dh6DBvkwDnxQUmDrxP/0pJCSY+srx8fYHy5GRpjnPjh2zKC62/p1jbi4MHFiGy1UuZeMskp4OZWWpaF1Fff0hW/bRVB1l1y6phOGJBMvCUv5KSTk1+EpIsD4YcjpNI4WhHvtNis5oOja2bjWlsq691r59LVtmAoNduyQ9yp9ee80s+Gs6Afb666a84623+ncey5ebzqrB0v3rVA89ZOq2P/44xMVNZtiwl4mJSffLvvftg/3706iosL7Wcm4uZGaafuMSLFsjPR32708F7Ku1XFWVR01NH3r1SqJfP1t20eVJsCy6rKbgS2uT/2d1MOR0wvjxrc9gC98MG2ZWzJ91ln37iIoy3SPlb+dfERGmq6nTaRbg/uUv5k1RQoJ/5zF2rPkcrJeU5883bywSEyEqKpWBA+9DqbD2H2iBI0dg+fI0amoK0Lqx/Qd0Qm4ujBljLsVJGoY1eveG6dMnAznExIywZR9RUeewZs3NZGTIyj5PJFgWIWHXLnj3XevGO3bMrOyXknH2qK+H1avNZzssWCBNSAJh9mzo08eUkfvHP8yVmbvu8v88+vY1ZdKCNVgeM8ZUCKmvP0JZWTb19Yf9tu8RI+Do0XQcjlpOnNhh2bh1daatfL9+v2T8+J306NHbsrG7u8cf78OUKRMJC7OnjWxs7K958smXJAXjNCRYFiHhlVfgllvMi7MVVq82l+8lWLbHP/9pXljXrrV+7KoqWZgZKD17mq5j770HN90E4eGwf39g5jJtmqmTfmq97UB6802TklJVZW5XVKykoOAWqqs70C/cIkpBcnIaAJWV1qViRESYLoG33uogKmqwZeMK80Zk48b3KC9favnYLlcDMTGNfPGF/XXQuzIJlkVImD3bLOb5xz+sGW/QILj/fvPCL6w3bZpZDLbU+ud+br/d5M0K/8vONg1BmjQ0mEVsgTjLP22aCTLWrPH/vtty/Dg88ghs396cHnT06Gocjp706uXf0h1jx6bz8MMfs2uXdf8oDQ3gctVSWDiXo0e/smxcYUoyfvvtk2zf/rLlY1dUOFm3LpYxY9aTmmr58CFDgmUREi64AAYPhsWLrRnvvPPgxRdN7quwXlwcXHSR9cFyQwOsWAHDh1s7rugYfzUL6ojJk+Hll80CKStkZ0NqKjgc5nNH3gAsXGjytwGee84srpszx3wNUFGxil69xttS8/h0pk+P4rvvZrF1ax/LxvzZz+CKK/LZt+//UVsr3X+s1LTIr6qqyPKxq6rycLlq2LQp1fKxQ4kEyyIkKGXOLq9YYUpG+aKyEtatC96yU6Fi5kz45htrL9OvWwdHj5qxhf8FU+fEmBi47z5T/tFX2dkwdy4UF5sUn+Jic7u9gHncOPO8tGiRCZCnTDH1lceNg4aGSo4f/8YvJeNO1bcv7N69iRkz3rRszLw8GD5cKmHYYeRIUz4OrK+1XF2dx7FjCbz+upTBOB0JlkXImD3bvJCtW+fbOJ99ZtIvcnKsmZdoW1NAu3y5dWMuW2bSO6ZNs25M0XHB1jnx0CF46y2oqPBtnKys1rnPHTljnplpAuXbb4faWtiyxdzOzITKyo2Ayy/NSNpSUbGIrVt/isvl+1kBrU0ljLS0LTgcUURFnW3BDEWT6Gior08lPPw4DQ3WLgY9ciSPnTulvnJ7fAqWlVLXK6XylFIupZTHpCul1EylVKFSartS6mFf9imEJ+efD2VlMGuWb+M4nWah0vjx1sxLtG3MGFi50tpFJUuXmr9bfLx1Y4qO83enxvbk58Mdd5ycR+0NX86YZ2bCPfeYBcPz5jUvGu7dO5MJE4qJi7vEt8l5qaYmHa3r+OST7T6PtXeveUOSnLyZmJh0v5XB605iYlIBa2sta605cSKPoiIJltvj65nlXOA6YJWnOyjzX/MycAUwErhJKTXSx/0K0YpS5vKir5xO0xY2MtL3sYRnDodZiBdhYbrmQw/Bw/J2PGD82cWzI8aPN+kYvpaQ8+WMudMJb78Njz5qSuo15TAD9Ow5iLCwnr5Nzkv9+5uKGFu25Po8Vq57iJiYKmJjx/g8nmjtmmumU1tbYunvV+t6du78NTk5P2SM/NlOy6dgWWtdoLUubOduFwLbtdY7tdZ1wN+Aa3zZrxCeHDliArA//9m7x5eXm/bWUjLOP/bvh9/8xlyetsKPfgRXX23NWMI7/uri2REREaZEoa/B8ty5rbd15Iy509mcszx/vvk8ezY4nXXk599CRcWXvk3MB3Fx56K1orzc9/JxAwbAAw/A6NFfcc45r1gwO3GqSy6J5fLLky09a+9wRPDhh49SVzdDGji1wx85ywOBkha397i3tUkpNVcptVEptbG8vNz2yYnQEh8Pe/Z436BklfsaiQTL/hEeDr//vTUl/z75xFx2F6KladOgsBBKS70f44svzBnq5OTOnTHfsKE5Rxmac5gLCjZy4EA29fUHvJ+Uj8LCoqmrG0JcXB47fOxNct558MILptucUrIUyg719bBixX/z9dd/s2zM2tpS3n233NJ1I6Gq3aNaKbVCKZXbxoctZ4e11q9qrTO01hmJiYl27EKEsKaqGJ99BgcPdv7xs2aZx0r+ln8kJJjfta8l5FwuuPNO+N3vrJmXCB1Niz29bYBTUWGugPzud1BS0rkz5g8+2PqNd2YmXHXVagDi4i72blIWOeusFTz11F98Dpa2bYPdu//Eli1X4XLZ1JazmzNVWN5g+3bripbv2vVbNm1Kp58UwmhXu8Gy1nq61jq9jY8lHdxHKXBWi9vJ7m1C2GL2bGhs9O5sZVQUTJ0KPXpYPy/RtpkzTQUTX7ovbtliFndKyThxqlGjTJD74x979/j4ePj6a1NH2CoVFauJihpORERgo5QRI1K55ZaepKR4P4bLBaNHw6pVK6mq+g6HQ5487RARAVVVKShVbNmYe/fmUVKSxpEjlg0ZsvxxvWQDMEwpNVgpFQHcCHzoh/2KbmrMGBg61Fzu7IwDB0yHrZ077ZmXaNvMmeYFd8UK78dYtsx8vuwya+YkQofDYdInvLFpkzmzHBZm3RtorV0cO7YmIPWVT1VTs4NHHvklmZneP+nt2gUnTkBi4hapr2wzpVKJjbWm1rLWmsbGfNavTyM21ve5hTpfS8ddq5TaA0wEPlZKLXNvH6CU+gRAa90A/AxYBhQAi7TW1jWkF+IUSpmqCNd0MlHI6YSnn/YufUN478ILzZsbX5rJLF1qzm5Z0YBChJ78fLP4c9u2jj+mpgauvdZcqbJSXd0BIiNTiIsLfE/2xsbj7NnzAiUlGygr826MvDzo0aOGyMhCCZZtFhubSlRUJUcsOBVcW1tCjx6VNDamyZXUDgj35cFa6w+AD9rYvheY1eL2J8AnvuxLiM64++7OP8bphF69TOts4T9hYSaIUcq7x9fUwPr11l4mF6ElIgLef9/kLw8b1rHHvPSSSd946y1r5xIZeSbjxn1r7aBe+uMfh5OR4eDZZ/MYONBU7HA6zcLEBx/s2Bi5uTB4cB7QSEzMKFvn290lJaXS2BhGQUEpkyb51qq8stKcs+zTJ82KqYU8WbYqQlZFRfPl+Y5wOk2ZqXCf3kIKbzQFyo2NnX9sz57NJeiEaMvQoaYmckdLyB0+DE89BVdcYX1lHKvbFfsiI6Mn+/adTXp6HsuXN5e668wC59xcSE6uJy5uMrGx59s3WcGkSVeRkFDDuHHn+TzW3r2jePbZPzN0qFwN6AgJlkXIeu45uPJKUzu5PXv3wtatUjIuUKqrYfhweP557x7fq5eprCFEW5QyZ5Wdzo69IXvqKTh6FJ591tp5aK1Zv34ExcXPWDuwlzIzTXMWW3HHAAAQAElEQVSShIQ81q2DH/wA3nyzc8+D8+bBffdN4PzzVxEdLW2u7RQX14PRo8MtaeR05MhAtm37P2RknOH7YN2ABMsiZF1/vXlh/KBVolBrW7fCGWdIsBwo0dHmDLE3JeRuvBEWL7Z+TiK0TJtmmhZ9204GhNamjfUdd5j6wVaqqdnJiROFhIfHWTuwD1JT00lIOI7D0cDx46bLYGdMmgTXXeeyZ3KileXLH+Sdd/7k8zjnnfcvtmzZxrnnWjCpbkCCZRGyRo82+YkdCaSmTDELzKTlZ+DMnAlffgmVlR1/zPbtpgHNgcD1dhBdxNSpZj1Ce8eXUqaSzp98j0daqahoqq8c+EoYTYqKfsttt+3hkUfCiY83teYB9u0z7cJfeQWOHWv7seXl8K9/aXJykikqmu+/SXdjVVVLKS31bQmY1i7y8q6ntPQPFs0q9EmwLEKWUubs8uefdywVIzzclJkSgTFzJjQ0mL9XRzXlpF9+uT1zEqGjf39TCm7KFM/3KSw0b8DAnlrrR49+SXh4b2JiRlo/uBdMjnI4ixaZpivvvw+PPWa2790LtbVw773md3fXXWYhrdawcKG5z8qVcNttpdTX72PXrr4sXBjonyj0ORyp9OlT5NMJgmPHduNyVbFliyzu6ygJDURImz27/Rq+JSWQnm6e+EXgTJoEsbGdS8VYuhSGDIGzJVVSdFBtbdt5y1qb/NvJk6Guzp59Hz26mri4i4OmJbRpx61JSrqFPXte+r4d94YNMHYsfPONaRh0003w17/CxInmjPO4cea59Z//hGHDNgPw29+Oks6nfhAbm0pSUhG5ud4vFM3PN5UwwsIkWO6o4PiPFcImo0aZsmQ33eT5Pk6nqRXau7f/5iVai4gwpatmzWr/vmCCHqdTuvaJjsvJMf/na9a0/t7y5aZaxsMPY8kCqlNp7aJfvxtISrrF+sG99OCDMHLkO5SXv8v27T9n7dpURo7M/r5snFKmDvprr5kg+cMPYcAAs7ZjxAh4+20YOXILAPPnj5I1H37Qv38qsbHHKCio8HqM3btNsDxqlATLHSXBsghpSrV/1tHphL59rV/MIzrvF7+Aq6/u2H0PHjRno6+6yt45idAxcqR5k3VqCbnGRtPIaPBguOcee/atlIPBg+fTr5/FXU58UFaWTWHhXEzvMKitLaawcC5lZdmt7nvGGaa6EJirdWlpJnVtwIDNnDiRSmZm8CxaDGWJiUMoLz+Lffs6kFvoQWVlHocPD2Dw4HgLZxbaJFgWIa+qCm64wXNzAafT5DFKvnJw2Lq1/YoFAAMHmpzlK66wf04iNMTHQ0ZG62A5Oxs2bzYl4yIj7dl3dfU2GhqO2zO4l3buzMLlqj5pm8tVzc6dWad9nMNh0jDi4uDMM2ewePE8nE47ZyqaJCb+kMsv382TT57j9RhvvPEMH320xOtGUN2RhAci5EVHmxfCv/yl9fd27YLiYikZF0x+8ANzKbw9Fd5fhRTd2LRpJg+3ZVWMkhKTj2t1a+uW8vNvIDf3h/btwAu1tbs9bne5aj0+rql5yaJFcN99P+HWW3/N7NlIwOwHCxeahaotOZ10eHGl1jB+fH8uvjjD+smFMAmWRchrqoqxcmXrEmN1dSafefr0gExNtGHmTPjiCzhxwvN99u0zqTNvvOG/eYnQMG2aqbqyalXztqwsc9uuq0sNDcc4fnwzcXGT7NmBlyIjB3nYfhZffTWEzZtnsm/fG9TXHznp+2ZhIEyefJTa2v0nLQwU9ho3DlavvpmsrIWUlna+62Jd3T4eeGAhN9/c9hsl0TYJlkW30FQV4/33T94+fDi88475LILDzJlQU2MCZk+WLzd/z/Olu67opEmT4PHHzf/8oUPNQbNdbe7LyrJZt24Y4GLv3lfazAcOlCFDFuBwRJ+0zeGIJiXlt5x55m2cOLGVwsI7yclJYsuWKzl6dC3QtDAwm6++GsLatf3JyRl40sJAYZ/MTBg3Lpfo6DXccIM5EbRoUcevjpaWbmDnzoeorS21d6IhxqdgWSl1vVIqTynlUkp5PKevlCpSSn2nlPpWKbXRl30K4Y30dDj3XPOk0kRrk4ahva/AI2xw6aXtd/NbuhTOPNM0nhGiM3r2NIt+p083LdIvvRRefNGefTUtoKuvN5e06usPeFxAFwhJSXMYPvxVIiNTAEVkZArDh7/KgAE/YciQpxk/fgcXXLCB5OQHqKrK+z6/ubj4Of797ztpaDgMQF3d3qD6uUJd//4pJCcXs2aNSUd75RVT0akjFi82dwyWWt9dha9nlnOB64BV7d0RyNRaj9FaS6KM8Dul4Gc/g4suag6Ot283NXo9LfwTgREVZRZcLl/e9vcbG+HTT+Gyy5AFKqLTsrPh7rvNWoUmWVlmu9W8XUDnT0lJc5g4sYgpU1xMnFhEUtKc77+nlOKMMzIYOnQhEybsIj7enL7cvXsBWp9cjDrYfq5QduRIKgkJRdx9t2mes3Rpc+3wwkLIz/f8WJcrn8rK5KBqud4V+BQsa60LtNaFVk1GCDvNmwdPPtkcYDUtRpk4MXBzEm37n/8xra/bsmmTuXwuXfuEN7KyWufDV1eb7VY73QK6rkYp9X0zlcbGtvtfd8Wfq6txOmH16kPExBzl5psdfPJJKlOnZnPokPn+ggWmrN+FF8L//i8cPtzccfHQIejbN4/GxrROLQoU/stZ1sBypdQmpdTc091RKTVXKbVRKbWxvCM9ioXohPp6sxIezJNH//5wjvcVeIRNhg2DPn3a/l5qKrz0kjmzLERn7fYQz3na7gvPC+ja3t5VhOrP1RXs2JHN5MlNi280ShXz85/PZccOc2nk+efhhRdMPfF588xrXE6OWbfz+usuBgzYQW1tWqcWBYoOBMtKqRVKqdw2Pq7pxH4u1lpfAFwBzFNKXeLpjlrrV7XWGVrrjMTExE7sQoj2PfusScXYv98Ey5mZcik/WL3xhlmIdap+/UxKTUKC36ckQsAgD/Gcp+2+8LSAbsiQBdbvzI9C9efqCtLSslDq5LJ+SlWTlmbqbfbrBw88YMqlfvMN3HuvOcu8aFE2qalDiI6uJCxsMYsWZUvJ1E5oN1jWWk/XWqe38bGkozvRWpe6Px8APgAu9H7KQnjv2mtNFYWnnoKyMqmvHMzWr4ff/96U92tSUWFyzA8fDty8RNe2YIGpvd5SdLTZbjVPC+ha5gV3RaH6c3UFnlN79pCTM5DNm2dQVWWSltPSjrBw4UF+8pNswsLm0q9fMQ6HJiGhhLAwWZDZGTYVy2mmlIoBHFrrSvfXlwHz7d6vEG1JS4MBA8zqYaXMmcuoKJgjz/FBZ+ZM83fKyTEL/gBWrIA77oDVq+HiiwM5O9FVNf2vZ2WZ1ItBg0ygbNdzQFLSnJAMIkP15wp2kZGDqK0tbrU9PDye3r1nUF2dT1hYDAD797/Jjh2/xJwXdZ10/6YFmfI37BhfS8ddq5TaA0wEPlZKLXNvH6CU+sR9tyTgS6XUZmA98LHW+jRFoYSwT3Y2lJeb3GWtobQU5s61ZyW88M3Uqc0rvZssW2Za7E6YELh5ia5vzhwoKjJXmYqK5M2y6Do8pcAMG/YHRox4k7Fj19OzZwoAvXtPZ+jQ/0JrV1tDUVMjCzI7SukgLjKbkZGhN26UsszCOqmpJ5eMapKSYl40RXCZOtWkXHz7rXlzk5JiFqX8/e+BnpkQQgRGWVk2O3dmUVu7m8jIQQwZsuC0Z4iXLUslMrL1C19tbQqXX15k30S7GKXUJk/ljW1PwxAimPhzJbzw3dVXw5IlZmX3jh1QUgKPPhroWQkhROB0NgVmzJgFFBbOPanmt8MRzZgxsiCzo6TdtehW/LkSXvjuF7+AlSshMhLWmk67Ul9ZCCE6QRZk+k7SMES3kp1tcpSrWzTVio6GV1+VvMVgVltrAubSUhg4MNCzEUIIEWpOl4YhZ5ZFtzJnjgmMU1JMNYyUFAmUg93s2eYNjcMBkybJYkwhhBD+JTnLotuZM0eC464iO9vkLLvci7mLi82VAZC/oRBCCP+QM8tCiKCVlXVyUxIwKTRZWYGZjxBCiO5HgmUhRNCS6iVCCCECTYJlIUTQkuolQgghAk2CZSFE0FqwwCzuayk62mwXQggh/EGCZSFE0JLqJUIIIQJNqmEIIYKaVC8RQggRSHJmWQghhBBCCA8kWBZCCCGEEMIDCZaFEEIIIYTwQGmtAz0Hj5RS5UBxAHadABwMwH5F8JNjQ5yOHB/CEzk2hCdybASHFK11YlvfCOpgOVCUUhu11hmBnocIPnJsiNOR40N4IseG8ESOjeAnaRhCCCGEEEJ4IMGyEEIIIYQQHkiw3LZXAz0BEbTk2BCnI8eH8ESODeGJHBtBTnKWhRBCCCGE8EDOLAshhBBCCOGBBMunUErNVEoVKqW2K6UeDvR8ROAopf6slDqglMptsa2PUupTpdQ29+fegZyjCAyl1FlKKadSKl8plaeUut+9XY6Pbk4p1VMptV4ptdl9bDzh3j5YKbXO/dryrlIqItBzFYGhlApTSn2jlPrIfVuOjSAnwXILSqkw4GXgCmAkcJNSamRgZyUC6E1g5inbHgY+01oPAz5z3xbdTwPwK631SGACMM/9XCHHh6gFpmqtRwNjgJlKqQnAs8ALWuuzgSPATwI4RxFY9wMFLW7LsRHkJFg+2YXAdq31Tq11HfA34JoAz0kEiNZ6FXD4lM3XAG+5v34L+KFfJyWCgtZ6n9b6a/fXlZgXvoHI8dHtaeO4+2YP94cGpgLvubfLsdFNKaWSgSuB19y3FXJsBD0Jlk82EChpcXuPe5sQTZK01vvcX+8HkgI5GRF4SqlU4HxgHXJ8CL6/zP4tcAD4FNgBVGitG9x3kdeW7utF4EHA5b7dFzk2gp4Ey0J4SZtSMlJOphtTSsUCfwce0Fofa/k9OT66L611o9Z6DJCMuWJ5boCnJIKAUuoq4IDWelOg5yI6JzzQEwgypcBZLW4nu7cJ0aRMKdVfa71PKdUfc+ZIdENKqR6YQDlba/2+e7McH+J7WusKpZQTmAjEK6XC3WcQ5bWle5oE/EApNQvoCZwB/DdybAQ9ObN8sg3AMPfK1AjgRuDDAM9JBJcPgdvdX98OLAngXESAuPMMXwcKtNb/1eJbcnx0c0qpRKVUvPvrKGAGJqfdCfzYfTc5NrohrfX/1Vona61TMfHF51rrOcixEfSkKckp3O/4XgTCgD9rrRcEeEoiQJRSfwWmAAlAGfAY8A9gETAIKAZma61PXQQoQpxS6mJgNfAdzbmHj2DyluX46MaUUqMwi7TCMCekFmmt5yulhmAWjfcBvgFu0VrXBm6mIpCUUlOAX2utr5JjI/hJsCyEEEIIIYQHkoYhhBBCCCGEBxIsCyGEEEII4YEEy0IIIYQQQnggwbIQQgghhBAeSLAshBBCCCGEBxIsCyGEEEII4YEEy0IIIYQQQnggwbIQQgghhBAe/H+YCS5VII4kKwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def do_generate_x_y(isTrain, batch_size, seqlen):\n",
    "    batch_x = []\n",
    "    batch_y = []\n",
    "    for _ in range(batch_size):\n",
    "        offset_rand = random.random() * 2 * math.pi\n",
    "        freq_rand = (random.random() - 0.5) / 1.5 * 15 + 0.5\n",
    "        amp_rand = random.random() + 0.1\n",
    "\n",
    "        sin_data = amp_rand * np.sin(np.linspace(\n",
    "            seqlen / 15.0 * freq_rand * 0.0 * math.pi + offset_rand,\n",
    "            seqlen / 15.0 * freq_rand * 3.0 * math.pi + offset_rand, seqlen * 2)  )\n",
    "\n",
    "        offset_rand = random.random() * 2 * math.pi\n",
    "        freq_rand = (random.random() - 0.5) / 1.5 * 15 + 0.5\n",
    "        amp_rand = random.random() * 1.2\n",
    "\n",
    "        sig_data = amp_rand * np.cos(np.linspace(\n",
    "            seqlen / 15.0 * freq_rand * 0.0 * math.pi + offset_rand,\n",
    "            seqlen / 15.0 * freq_rand * 3.0 * math.pi + offset_rand, seqlen * 2)) + sin_data\n",
    "\n",
    "        batch_x.append(np.array([ sig_data[:seqlen] ]).T)\n",
    "        batch_y.append(np.array([ sig_data[seqlen:] ]).T)\n",
    "\n",
    "    # shape: (batch_size, seq_length, output_dim)\n",
    "    batch_x = np.array(batch_x).transpose((1, 0, 2))\n",
    "    batch_y = np.array(batch_y).transpose((1, 0, 2))\n",
    "    # shape: (seq_length, batch_size, output_dim)\n",
    "\n",
    "    return batch_x, batch_y\n",
    "\n",
    "#生成15个连续序列，将con和sin随机偏移变化后的值叠加起来\n",
    "def generate_data(isTrain, batch_size):\n",
    "    seq_length =15\n",
    "    if isTrain :\n",
    "        return do_generate_x_y(isTrain, batch_size, seq_length)\n",
    "    else:\n",
    "        return do_generate_x_y(isTrain, batch_size, seq_length*2)\n",
    "    \n",
    "        \n",
    "sample_now, sample_f = generate_data(isTrain=True, batch_size=3)\n",
    "print(\"training examples : \")\n",
    "print(sample_now.shape)\n",
    "print(\"(seq_length, batch_size, output_dim)\")\n",
    "\n",
    "\n",
    "seq_length = sample_now.shape[0]\n",
    "batch_size = 10\n",
    "\n",
    "output_dim = input_dim = sample_now.shape[-1]\n",
    "hidden_dim = 12  \n",
    "layers_num = 2\n",
    "\n",
    "# Optmizer:\n",
    "learning_rate =0.04\n",
    "nb_iters = 100\n",
    "\n",
    "lambda_l2_reg = 0.003  # L2 regularization of weights - avoids overfitting\n",
    "        \n",
    "        \n",
    "tf.reset_default_graph()\n",
    "\n",
    "\n",
    "\n",
    "encoder_input = []\n",
    "expected_output = []\n",
    "decode_input =[]\n",
    "for i in range(seq_length):\n",
    "    encoder_input.append( tf.placeholder(tf.float32, shape=( None, input_dim)) )\n",
    "    expected_output.append( tf.placeholder(tf.float32, shape=( None, output_dim)) )\n",
    "    decode_input.append( tf.placeholder(tf.float32, shape=( None, input_dim)) )\n",
    "\n",
    "    \n",
    "tcells = []\n",
    "for i in range(layers_num):\n",
    "    tcells.append(tf.contrib.rnn.GRUCell(hidden_dim))\n",
    "Mcell = tf.contrib.rnn.MultiRNNCell(tcells)\n",
    "\n",
    "dec_outputs, dec_memory = tf.contrib.legacy_seq2seq.basic_rnn_seq2seq(encoder_input,decode_input,Mcell)\n",
    "\n",
    "reshaped_outputs = []\n",
    "for ii in dec_outputs :\n",
    "    reshaped_outputs.append( tf.contrib.layers.fully_connected(ii,output_dim,activation_fn=None))\n",
    "\n",
    "\n",
    "# L2 loss\n",
    "output_loss = 0\n",
    "for _y, _Y in zip(reshaped_outputs, expected_output):\n",
    "    output_loss += tf.reduce_mean( tf.pow(_y - _Y, 2) )\n",
    "   \n",
    "# generalization capacity)\n",
    "reg_loss = 0\n",
    "for tf_var in tf.trainable_variables():\n",
    "    if not (\"fully_connected\" in tf_var.name ):\n",
    "        #print(tf_var.name)\n",
    "        reg_loss += tf.reduce_mean(tf.nn.l2_loss(tf_var))\n",
    "\n",
    "loss = output_loss + lambda_l2_reg * reg_loss\n",
    "train_op = tf.train.AdamOptimizer(learning_rate).minimize(loss)   \n",
    "\n",
    "sess = tf.InteractiveSession()\n",
    "        \n",
    "def train_batch(batch_size):\n",
    "\n",
    "    X, Y = generate_data(isTrain=True, batch_size=batch_size)\n",
    "    feed_dict = {encoder_input[t]: X[t] for t in range(len(encoder_input))}\n",
    "    feed_dict.update({expected_output[t]: Y[t] for t in range(len(expected_output))})\n",
    "\n",
    "    c =np.concatenate(( [np.zeros_like(Y[0])],Y[:-1]),axis = 0)\n",
    "\n",
    "    feed_dict.update({decode_input[t]: c[t] for t in range(len(c))})\n",
    "\n",
    "    _, loss_t = sess.run([train_op, loss], feed_dict)\n",
    "    return loss_t\n",
    "\n",
    "\n",
    "def test_batch(batch_size):\n",
    "    X, Y = generate_data(isTrain=True, batch_size=batch_size)\n",
    "    feed_dict = {encoder_input[t]: X[t] for t in range(len(encoder_input))}\n",
    "    feed_dict.update({expected_output[t]: Y[t] for t in range(len(expected_output))})\n",
    "    c =np.concatenate(( [np.zeros_like(Y[0])],Y[:-1]),axis = 0)#来预测最后一个序列\n",
    "    feed_dict.update({decode_input[t]: c[t] for t in range(len(c))})    \n",
    "    output_lossv,reg_lossv,loss_t = sess.run([output_loss,reg_loss,loss], feed_dict)\n",
    "    print(\"-----------------\")    \n",
    "    print(output_lossv,reg_lossv)\n",
    "    return loss_t\n",
    "\n",
    "\n",
    "# Training\n",
    "train_losses = []\n",
    "test_losses = []\n",
    "\n",
    "sess.run(tf.global_variables_initializer())\n",
    "for t in range(nb_iters + 1):\n",
    "    train_loss = train_batch(batch_size)\n",
    "    train_losses.append(train_loss)\n",
    "    if t % 50 == 0:\n",
    "        test_loss = test_batch(batch_size)\n",
    "        test_losses.append(test_loss)\n",
    "        print(\"Step {}/{}, train loss: {}, \\tTEST loss: {}\".format(t,nb_iters, train_loss, test_loss))\n",
    "print(\"Fin. train loss: {}, \\tTEST loss: {}\".format(train_loss, test_loss))        \n",
    "        \n",
    "        \n",
    "        \n",
    "# Plot loss over time:\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(np.array(range(0, len(test_losses))) /\n",
    "    float(len(test_losses) - 1) * (len(train_losses) - 1),\n",
    "    np.log(test_losses),label=\"Test loss\")\n",
    "    \n",
    "plt.plot(np.log(train_losses),label=\"Train loss\")\n",
    "plt.title(\"Training errors over time (on a logarithmic scale)\")\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('log(Loss)')\n",
    "plt.legend(loc='best')\n",
    "plt.show()        \n",
    "        \n",
    "        \n",
    "# Test\n",
    "nb_predictions = 5\n",
    "print(\"visualize {} predictions data:\".format(nb_predictions))\n",
    "\n",
    "preout =[]\n",
    "X, Y = generate_data(isTrain=False, batch_size=nb_predictions)\n",
    "print(np.shape(X),np.shape(Y))\n",
    "for tt in  range(seq_length):\n",
    "    feed_dict = {encoder_input[t]: X[t+tt] for t in range(seq_length)}\n",
    "    feed_dict.update({expected_output[t]: Y[t+tt] for t in range(len(expected_output))})\n",
    "    c =np.concatenate(( [np.zeros_like(Y[0])],Y[tt:seq_length+tt-1]),axis = 0)  #从前15个的最后一个开始预测  \n",
    "\n",
    "    feed_dict.update({decode_input[t]: c[t] for t in range(len(c))})\n",
    "    outputs = np.array(sess.run([reshaped_outputs], feed_dict)[0])\n",
    "    preout.append(outputs[-1])\n",
    "\n",
    "print(np.shape(preout))#将每个未知预测值收集起来准备显示出来。\n",
    "preout =np.reshape(preout,[seq_length,nb_predictions,output_dim])\n",
    "\n",
    "for j in range(nb_predictions):\n",
    "    plt.figure(figsize=(12, 3))\n",
    "\n",
    "    for k in range(output_dim):\n",
    "        past = X[:, j, k]\n",
    "        expected = Y[seq_length-1:, j, k]#对应预测值的打印\n",
    "\n",
    "        pred = preout[:, j, k]\n",
    "\n",
    "        label1 = \"past\" if k == 0 else \"_nolegend_\"\n",
    "        label2 = \"future\" if k == 0 else \"_nolegend_\"\n",
    "        label3 = \"Pred\" if k == 0 else \"_nolegend_\"\n",
    "        plt.plot(range(len(past)), past, \"o--b\", label=label1)\n",
    "        plt.plot(range(len(past), len(expected) + len(past)),\n",
    "                 expected, \"x--b\", label=label2)\n",
    "        plt.plot(range(len(past), len(pred) + len(past)),\n",
    "                 pred, \"o--y\", label=label3)\n",
    "\n",
    "    plt.legend(loc='best')\n",
    "    plt.title(\"Predictions vs. future\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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